Artificial intelligence has taken a new leap forward in medicine — specifically in cancer diagnostics. On May 19, 2025, an international team of scientists unveiled an AI system capable of detecting cancer at early stages with exceptionally high accuracy.
The model was trained on a multimillion dataset of medical images, including MRI, CT scans, biopsies, and lab results. The algorithms learned to identify even the slightest signs of tumor formation — signs often missed by even experienced physicians.
Key results:
- Diagnostic accuracy exceeds 94% across a wide range of tumors.
- Preliminary diagnosis can be delivered within 3 minutes after receiving results.
- Extremely low rate of false results, reducing the risk of incorrect treatment.
The AI system also takes into account the patient’s medical history, genetic predispositions, and other relevant indicators to create a personalized diagnostic pathway.
The system has already been tested in clinics in Germany, Japan, the USA, and South Korea. Medical professionals expressed enthusiasm, describing AI not as a replacement, but as a powerful enhancement to medical staff.
The system is especially relevant for remote regions and countries with limited access to oncologists. Its cloud-based version can operate even in small hospitals via the internet.
The developers noted that they are currently in talks to integrate the AI system into healthcare networks.